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|Title: ||Police officer dynamic positioning for incident response and community presence|
|Authors: ||Leigh, Johanna M.|
Jackson, Lisa M.
Dunnett, Sarah J.
|Keywords: ||Maximum coverage location problem|
Kernel density estimation
|Issue Date: ||2016|
|Publisher: ||INSTICC / SCITEPRESS|
|Citation: ||LEIGH, J.M., JACKSON, L.M. and DUNNETT, S.J., 2016. Police officer dynamic positioning for incident response and community presence. Presented at the 5th International Conference on Operations Research and Enterprise Systems, Rome, 23-25rd. Feb., Paper no 29.|
|Abstract: ||Police Forces are under a constant struggle to provide the best service possible with limited and decreasing resources. One area where service cannot be compromised is incident response. Resources which are
assigned to incident response must provide attendance to the scene of an incident in a timely manner to protect the public . To ensure the possible demand is met maximum coverage location planning can be used so response officers are located in the most effective position for incident response. This is not the only concern of response officer
positioning. Location planning must also consider targeting high crime areas,
hotspots, as an officer presence in these areas can reduce crime levels and hence reduce future demand on the response officers. In this work hotspots are found using quadratic kernel density estimation with historical crime data. These are then used to produce optimal dynamic patrol routes for response
officers to follow. Dynamic patrol routes result in reduced response times and reduced crime levels in hotspot areas resulting in a lower demand on response officers.|
|Description: ||This is a conference paper.|
|Sponsor: ||This work was supported by the Economic and Social Research Council [ES/K002392/1].|
|Version: ||Accepted for publication|
|Publisher Link: ||http://www.icores.org/|
|Appears in Collections:||Conference Papers and Contributions (Aeronautical and Automotive Engineering)|
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